Social network analysis

 

A course shared by Masaryk University in Brno (Czech Republic) and University of Lodz (Poland)

Kurs odbywa się w piątki od 9.00 do 10.40, pierwsze zajęcia 12 marca. Zapisy nie dokonują się przez USOS. Osoby chcące zapisać się na te zajęcia proszone są o bezpośredni kontakt z dr Ewą Ciszewską (adres poniżej)

Zajęcia przeznaczone są dla studentów studiów magisterskich. Studenci studiów licencjackich, którzy chcieliby wziąć udział w kursie, muszą wystąpić do pani dziekan o zgodę na zaliczenie kursu na ich poziomie studiów.

Lecturer

Mgr. et Mgr. Jiří Navrátil, Ph.D. (jiri.navratil@fss.muni.cz)

 

Polish coordinator

dr Ewa Ciszewska, (ewa.ciszewska@uni.lodz.pl)

 

Credits

Number of ECTS credits: 4

 

Timing

Fridays, 9.00-10.40, starting from 12 of March 2021; 13 meetings; the course will be held online

 

Language course

English

 

Goal of the course

This course aims at introducing the key concepts and techniques in contemporary social network analysis. It also aims at particular procedures for relational data retrieval and analysis with SNA software package.

 

Teaching methods

Lecture, seminar.

 

Course credit requirements

Practical task: working with a set of data and making a visualization. Creating a brief interpretation for that task.

 

Lecture and reading schedule

 

  1. Principles of social network analysis

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 1

 

Recommended reading

  • Emirbayer, Mustafa. 1997. „Manifesto for a Relational Sociology.“ American Journal of Sociology 103: 281-317.
  • Wellman, Barry. 1988. Structural Analysis: from method and metaphor to theory and substance. In B. Wellman & S. D. Berkowitz (eds.), Social Structures: A Network Approach. Cambridge: Cambridge University Press, str. 19-61.

 

  1. Mathematical foundations and research design

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 2 + 3

 

  1. Data collection

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 4

 

Recommended reading

  • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 1 + 5

 

  1. Data management

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 5 – 7

Recommended reading

  • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 4 + 6

 

  1. Visualizing networks with Netdraw

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 7

 

  1. Whole network properties

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 2 + 9

 

Recommended reading

  • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 2 + 3 + 7

 

  1. Centrality

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 10

Recommended reading

  • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 9

 

  1. Reading week

 

  1. Triad census

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, pp. 157-159

 

Recommended reading

  • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, p. 122

 

  1. Subgroups

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 11

 

Recommended reading

  • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 11

 

Recommended reading

  • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 11

 

  1. Ego-networks

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 15

 

Recommended reading

  • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 9

 

  1. Equivalence

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 12

 

Recommended reading

  • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 12-13

 

  1. Some statistical tools and conclusion

Required reading

  • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 8

 

Recommended reading

  • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 18

 

Mgr. et Mgr. Jiří Navrátil, Ph.D., Social network analysis